Optimizing and development of friction stir welding using AI-supported prediction method and digital twin technology

No abstract is available for this paper.

• Publication year

  2025

• Venue

  Welding in the World

• Publication date

  2025-11-12

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1007/s40194-025-02245-6
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Mechanical and Microstructural Properties of High-Speed Friction Stir Welding of AA 7020 Aluminum Alloy Using Multi-Pin Tool

  2025cited by this paper
• Supervised Machine learning models for predicting mechanical properties of dissimilar friction stir welded AA7075-AA5083 aluminum alloys

  2025cited by this paper
• An integration of RSM and ANN modelling approach for prediction of FSW joint properties in AA7178/AA5456 alloys

  2024cited by this paper
• Non-destructive evaluation of the friction stir welding process, generalizing a deep neural defect detection network to identify internal weld defects across different aluminum alloys

  2023cited by this paper
• A Review of Optimization and Measurement Techniques of the Friction Stir Welding (FSW) Process

  2023cited by this paper
• Fusion welding of ultra-high strength structural steels – A review

  2022cited by this paper
• Optimization of friction stir welding parameters with Taguchi method for maximum electrical conductivity in Al-1080 welded sections

  2021cited by this paper
• Evaluation of bulk defects area in friction stir welded 1080 aluminum alloy utilizing electrical resistivity measurements

  2021cited by this paper
• Prediction of the optimal FSW process parameters for joints using machine learning techniques

  2021cited by this paper
• Torque-Based Temperature Control in Friction Stir Welding by Using a Digital Twin

  2020cited by this paper
• Applications of Machine Learning to Friction Stir Welding Process Optimization

  2020cited by this paper
• Effect of Corrosion and Surface Finishing on Fatigue Behavior of Friction Stir Welded EN AW-5754 Aluminum Alloy Using Various Tool Configurations

  2020cited by this paper
• Artificial Intelligence Applications for Friction Stir Welding: A Review

  2020cited by this paper
• Digital twin of a combustion furnace operating in flameless conditions: reduced-order model development from CFD simulations

  2020cited by this paper
• Using finite element analysis to develop a digital twin of a manufacturing bending operation

  2020cited by this paper
• Torque-based adaptive temperature control in friction stir welding: a feasibility study

  2018cited by this paper
• Design of experiment study on hardness variations in friction stir welding of AM60 Mg alloy

  2018cited by this paper
• Prediction of the vertical force during FSW of AZ31 magnesium alloy sheets using an artificial neural network-based model

  2018cited by this paper
• Investigation of Friction Stir Butt Welded Aluminium Alloy Flat Plates Using Spindle Motor Current Monitoring Method

  2013cited by this paper
• Predictions of the optimized friction stir spot welding process parameters for joining AA2024 aluminum alloy using RSM

  2010cited by this paper
• A review on friction stir welding for aluminium alloys

  2010cited by this paper
• Numerical studies on controlling of process parameters in friction stir welding

  2009cited by this paper

• Data-Driven Optimization and Modelling of the Gap Bridgeability Performance of Multi-Pin Friction Stir Welded EN AW 7020-T651 Joints

  2026cites this paper